Guepard offers a cloud-native data management platform that brings Git-style version control to large-scale enterprise data. Its core features include instant branching, snapshots, and time-travel capabilities, allowing teams to copy a terabyte of data in five seconds instead of the traditional ten hours. The company has also introduced a Model Context Protocol (MCP) that lets AI agents work on isolated, fully auditable data copies and safely roll back changes, addressing a key barrier to enterprise AI adoption. The platform is delivered as a self-service product, giving every new user a free AWS-backed server to test and host data. Fueled by its recent funding, Guepard plans to deploy across 25–30 enterprise customers in the U.S. and Europe within the next 12–18 months. The $2.1 million pre-seed round is expected to fund two to three years of growth, during which many of the round’s operator-investors will advise on product roadmap and customer introductions. Headquartered in San Francisco with operations in Europe and the Middle East, Guepard aims to establish product-market fit for the “age of AI agents.”

Total raised

$2M

Funding rounds

1

Latest round

Seed

Latest activity

Sep 2025